Metadata-Version: 2.1
Name: ProcessEntropy
Version: 0.2.dev0
Summary: A toolkit for calculating process entropy quickly. With specific applications to tweets.
Home-page: https://github.com/tobinsouth/ProcessEntropy
Author: Tobin South
License: MIT license
Platform: UNKNOWN
Description-Content-Type: text/markdown
Requires-Dist: numba
Requires-Dist: nltk

# ProcessEntropy

A toolkit for calculating process entropy quickly. With specific applications to tweets.


## Example Usage

```
	# Load in tweets between 2018/11/16 to 2019/01/01
	import pandas as pd
	with open("example_data/BBCWorld_Tweets_small.csv", 'r') as f:
	    BBC = pd.read_csv(f)

	with open("example_data/BuzzFeedNews_Tweets_small.csv", 'r') as f:
	    BuzzFeed = pd.read_csv(f)

	target = list(zip(BuzzFeed['created_at'], BuzzFeed['tweet']))
	source = list(zip(BBC['created_at'], BBC['tweet']))


	from ProcessEntropy.CrossEntropy import *

	print(timeseries_cross_entropy(target, source))

```


## Installation

```
pip install -e git+https://github.com/tobinsouth/ProcessEntropy.git#egg=ProcessEntropy
```

